Implementing Digital Transformation Processes in Industry 4.0

Cornide-Reyes, Hector; Morales, J.; Silva-Aravena, Fabián; Ocqueteau, Alfredo; Melendez, Nahur; Villarroel, Rodolfo

Abstract

Today, companies are subject to the absolute digitization of consumer behavior and their internal stakeholders. To successfully meet this challenge, companies need to define a digital transformation strategy. Unfortunately, most companies do not have a methodology to guide this transformation. As a result, the conduction of the process is complex, and there is no adequate diagnosis or route consistent with the company’s objectives. All this leads to disordered and inefficient technological implementations, which generate a high level of uncertainty. In this article, we present the results of a literature review analysis that compiles evidence regarding how companies are addressing the challenge of digitally transforming themselves for Industry 4.0. The findings have allowed us to formulate new research questions and hypotheses based on the results reported in the selected primary studies. We recovered a total of 21 primary studies, which we classified according to three criteria: guidelines, assessments, and agile method. The increase in the number of publications in recent years shows the attractiveness of the subject. The results obtained allow us to draw important conclusions that will help to conduct future research on this topic. In future work, we plan to extend this work further and propose usability principles based on Lean. Another line of work is to explore the artificial intelligence techniques that Industry 4.0 uses in its digital transformation processes.

Más información

Título según SCOPUS: ID SCOPUS_ID:85169014715 Not found in local SCOPUS DB
Título de la Revista: Lecture Notes in Computer Science
Volumen: 14025 LNCS
Editorial: Springer
Fecha de publicación: 2023
Página de inicio: 323
Página final: 335
DOI:

10.1007/978-3-031-35915-6_24

Notas: SCOPUS